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1.
半主动磁流变阻尼控制方法的比较与分析   总被引:24,自引:3,他引:21  
提出了基于现代最优控制理论的半主动控制算法。通过对一装有5个磁流变阻尼器的7层框架结构的地震反应分析表明,基于两种主动控制算法的所提半主动控制律是非常有效的。  相似文献   

2.
针对桥梁横桥向抗震条件相对较差的情况,提出利用变阻尼控制装置对典型桥梁结构横向振动进行控制的方法,探讨其基于LQR算法的半主动控制效果.将被控结构作为多自由度体系,建立了结构-变阻尼系统力学模型和运动微分方程,进而结合实例利用 Matlab软件仿真分析了各种半主动控制算法和被动控制策略的控制效果.研究结果表明:采用半主动变阻尼控制装置有效的降低了桥梁结构横向地震反应,控制效果明显.  相似文献   

3.
基于神经网络的滑移隔震结构智能半主动控制   总被引:1,自引:1,他引:0  
考虑上部结构的刚度和阻尼,使用神经网络控制算法计算基底摩擦力的大小,研究了滑移隔震结构的半主动控制。对计算实例的分析表明,通过半主动控制的滑移隔震结构不但具有较好的隔震效果,且能有效地减小基底的最大滑移量及残余位移。为对比各种控制方法的控制效果,文中还利用Bang-Bang控制和瞬时最优控制算法对滑移隔震结构进行了半主动控制。对比分析表明,基于神经网络控制算法的控制效果优于其它控制算法,具有反馈量少,稳健性强等特点。  相似文献   

4.
结构磁流变阻尼半主动控制的改进算法与仿真分析   总被引:19,自引:0,他引:19  
基于线性二次型最优控制理论,结合磁流变阻尼器装置的出力特点,提出了结构磁流变阻尼半主动控制的两种改进算法:以速度负反馈渐进逼近主动最优的界限滑动半主动控制算法和基于结构响应状态组合反馈的界限开关半主动控制算法。首先给出了采用磁流变阻尼器装置控制结构振动的系统框图,然后结合一个三层Benchmark模型,仿真分析其在多种地震输入工况下,LQR、磁流变阻尼两种半自动和两种被动控制下的控制效果,最后给出了Benchmark评价指标。  相似文献   

5.
线性结构的滑动模态半主动控制   总被引:1,自引:0,他引:1  
本文研究应用可变阻尼器对线性结构进行半主动控制的算法和原理。采用滑动模态控制算法,并基于Lyapunov直接法提出了半主动控制器设计。利用滑动模态控制方法和所建立的控制器,我们给出了一个风荷载激励下的线性结构的半主动控制算例。计算机模拟分析表明,半主动控制具有效果明显,鲁棒性好等优点,是一种非常有发展前途的控制方法。  相似文献   

6.
探讨了开关型半主动控制算法的研究现状,基于单步状态预测控制律,提出了针对高层建筑多自由度结构体系AVS/D(主动变刚度阻尼)多振型开关控制律。通过算例仿真分析与其它开关控制律作了比较,结果表明这种开关控制律是可行的、有效的。特别是在多自由度结构体系振动过程中有多个振型同时在受控结构的反应中起主要作用时,本文提出的开关控制律比其它振型开关控制律有更好的控制效果。  相似文献   

7.
基于瞬时最优算法的磁流变阻尼隔震结构半主动控制   总被引:1,自引:0,他引:1  
采用瞬时最优控制算法,对附加了磁流变阻尼器的多自由度隔震结构进行了半主动控制的数值模拟。首先,将被动隔震装置——叠层钢板橡胶垫与磁流变阻尼器相结合,形成磁流变智能隔震系统。其次,根据瞬时最优控制算法的基本原理,针对磁流变阻尼器的特点,建立与之相适应的半主动控制算法。最后,以六层隔震结构为例,进行数值分析。比较了被动与半主动控制的结构反应,并得到较好的控制效果。  相似文献   

8.
基于模式识别的模糊半主动控制策略   总被引:1,自引:1,他引:0  
本文针对半主动控制提出了一种基于模式识别的模糊半主动控制算法,根据被控结构(层)位移及速度及它们相应的组合构成的特征向量,来划分动态模式,然后,区分不同的动态模式采用不同的模糊控制策略。且通过数值模拟,进行了其与符号控制律(半主动控制常用)以及被动控制的控制效能对比分析。  相似文献   

9.
磁流变变阻尼半主动控制结构的仿真分析   总被引:6,自引:2,他引:6  
由于高阶单步法已成功地应用于结构非线性分析及考虑时滞的主动控制等,显示了它的稳定、精度高和计算迅速等特点。用于结构振动控制的磁流变阻尼器属于速度相关型变阻尼半主动控制器,已有的一些算法,或因计算时间过长不能用于实际控制,或因需要事先经过学习训练,控制效果取决于训练学习的情况。因此,本文将高阶单步法应用于磁流变变阻尼半主动控制系统,采用开关控制和连续控制两种控制率对磁流变液的剪切强度进行调节。仿真计算表明,该控制算法是一种能用于结构实际控制的变阻尼有效算法.  相似文献   

10.
半主动TLCD对固定式海洋平台的离散神经网络滑模控制   总被引:3,自引:0,他引:3  
主要研究了半主动调液柱型阻尼器(TLCD)对固定式海洋平台的离散神经网络滑模变结构控制方法。首先建立了平台结构-TLCD控制系统微分方程及其离散化状态空间表达,然后阐述了基于神经网络的滑模变结构控制的基本算法和控制策略,最后应用该神经网络滑模变结构控制策略对一个已建成的实际海洋平台结构的TLCD半主动控制问题进行了数值仿真分析。仿真分析的结果证明了该方法的有效性。  相似文献   

11.
地震作用下参数不确定系统的变结构控制   总被引:5,自引:2,他引:3  
本文对结构参数具有有确定性的变结构控制系统设计方法进行了研究。首先采用摄动方法给出了结构参数具有确定性的控制系统的运动方程,证明了基于层间剪切模型的参数不确定受控系统与其标称系统具有相同的滑动模态,从而解决了系统切换函数的确定问题,并利用到达条件推导了控制律的表示式。算例分析结果表明,本文的控制方法能有效地减小结构的地震响应,对于结构系统建模存在误差或系统本身存在学确定性的情况,控制效果仍十分显著  相似文献   

12.
A systematic and improved design procedure for sliding mode control (SMC) of seismically excited civil structures with saturation problem is provided in this paper. In order to restrict the control force to a certain level, a procedure for determining the upper limits of the control forces for single or multiple control units is proposed based on the design response spectrum of external loads. Further, an efficient procedure using the LQR method for determining sliding surfaces appropriate for different controller types is provided through the parametric evaluation of the dynamic characteristics of sliding surfaces in terms of SMC controller performance. Finally, a systematic design procedure for SMC required to achieve a given performance level is provided and its effectiveness is verified by applying it to multi‐degree‐of‐freedom (MDOF) systems. Copyright © 2004 John Wiley & Sons, Ltd.  相似文献   

13.
Recently, several hybrid protective systems have been explored for applications to seismic-excited bridge structures. In particular, two types of aseismic hybrid protective systems have been shown to be quite effective: (i) rubber bearings and variable dampers (or actuators), and (ii) sliding bearings and actuators. In this paper, control methods are presented for these hybrid protective systems. The control methods are based on the theory of variable structure system (VSS) or sliding mode control (SMC). Emphasis is placed on the static (direct) output feedback controllers using only the information measured from a few sensors without an observer. Simulation results demonstrate that the control methods presented are robust with respect to system parametric uncertainties and the performance is quite remarkable. Sensitivity studies are conducted to evaluate the effectiveness of hybrid protective systems and passive sliding isolators for reducing the response of seismic-excited bridge structures. The advantages of each protective system are demonstrated by simulation results for a wide range of earthquake intensities.  相似文献   

14.
15.
Based on the genetic algorithms (GAs), a fuzzy sliding mode control (FSMC) method for the building structure is designed in this research. When a fuzzy logic control method is used for a structural system, it is hard to get proper control rules directly, and to guarantee the stability and robustness of the fuzzy control system. Generally, the fuzzy controller combined with sliding mode control is applied, but there is still no criterion to reach an optimal design of the FSMC. In this paper, therefore, we design a fuzzy sliding mode controller for the building structure control system as an optimization problem and apply the optimal searching algorithms and GAs to find the optimal rules and membership functions of the FSMC. The proposed approach has the merit to determine the optimal structure and the inference rules of fuzzy sliding mode controller simultaneously. It is found that the building structure under the proposed control method could sustain in safety and stability when the system is subjected to external disturbances. Copyright © 2002 John Wiley & Sons, Ltd.  相似文献   

16.
Critical non‐structural equipments, including life‐saving equipment in hospitals, circuit breakers, computers, high technology instrumentations, etc., are vulnerable to strong earthquakes, and the failure of these equipments may result in a heavy economic loss. In this connection, innovative control systems and strategies are needed for their seismic protections. This paper presents the performance evaluation of passive and semi‐active control in the equipment isolation system for earthquake protection. Through shaking table tests of a 3‐story steel frame with equipment on the first floor, a magnetorheological (MR)‐damper together with a sliding friction pendulum isolation system is placed between the equipment and floor to reduce the vibration of the equipment. Various control algorithms are used for this semi‐active control studies, including the decentralized sliding mode control (DSMC) and LQR control. The passive‐on and passive‐off control of MR damper is used as a reference for the discussion on the control effectiveness. Copyright © 2008 John Wiley & Sons, Ltd.  相似文献   

17.
Effectiveness of a new semiactive independently variable stiffness (SAIVS) device in reducing seismic response of sliding base isolated buildings is evaluated analytically and experimentally. Through analytical and experimental study of force—displacement behaviour of the SAIVS device, it is shown that the device can vary stiffness continuously and smoothly between minimum and maximum stiffness. Passive sliding base isolation systems reduce interstorey drifts and superstructure accelerations, but with increased base displacements, which is undesirable, under large velocity near fault pulse type earthquakes. It is a common practice to incorporate non‐linear passive dampers into the isolation system to reduce bearing displacements. Incorporation of passive dampers, however, may result in increased superstructure accelerations and drifts; while, properly designed passive dampers can be beneficial. A viable alternative is to use semiactive variable stiffness systems, which can vary the period of the sliding base isolated buildings in real time, to simultaneously reduce bearing displacements and superstructure responses further than the passive systems, which deserves investigation. This study investigates the performance of a 1:5 scaled smart sliding base isolated building model equipped with the SAIVS device analytically and experimentally, under near fault earthquakes, by developing a new moving average non‐linear tangential stiffness control algorithm for control of the SAIVS device. The SAIVS device reduces bearing displacements further than the passive cases, while maintaining isolation level forces and superstructure responses at the same level as the passive minimum stiffness case, indicating the significant potential of the SAIVS system. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

18.
Recently, sliding‐mode control (SMC) methods have been investigated for application to seismically excited civil engineering structures and have proved to be effective control strategic methods. On the other hand, although another class of well‐known optimal control laws, the so‐called ‘bang–bang’ control, has been investigated for several decades, their potential in civil engineering structural control has not been fully exploited. The purpose of this paper is to present a new control law for civil engineering structures, which is the sliding‐mode bang–bang control (SMBBC). The SMBBC method is a combination of the SMC and the bang–bang control. In consideration of actuators not suitable for high‐speed switching of control forces in the SMBBC in practice, modified sliding‐mode bang–bang control (MSMBBC) law is proposed and demonstrated to be able to provide the same control effects as the SMBBC case. Condition modified sliding‐mode bang–bang control (CMSMBBC) law is also investigated in this paper. In the CMSMBBC case, actuators act only when response quantities exceed some designated threshold values. The determination method of maximum control‐forces for actuators is investigated through example computation. The performance and robustness of the proposed control methods are all demonstrated by numerical simulation. Simulation results demonstrate that the presented methods are viable and an attractive control strategy for application to seismically excited linear structures. Copyright © 2000 John Wiley & Sons, Ltd.  相似文献   

19.
A sliding mode fuzzy control (SMFC) algorithm is presented for vibration reduction of large structures. The rule base of the fuzzy inference engine is constructed based on the sliding mode control, which is one of the non‐linear control algorithms. In general, fuzziness of the controller makes the control system robust against the uncertainties in the system parameters and the input excitation, and the non‐linearity of the control rule makes the controller more effective than linear controllers. For verification of the present algorithm, a numerical study is carried out on the benchmark problem initiated by the ASCE Committee on Structural Control. To achieve a high level of realism, various aspects are considered such as actuator–structure interaction, sensor noise, actuator time delay, precision of the A/D and D/A converters, magnitude of control force, and order of control model. Performance of the SMFC is examined in comparison with those of other control algorithms such as Hmixed 2/∞, optimal polynomial control, neural networks control, and SMC, which were reported by other researchers. The results indicate that the present SMFC is efficient and attractive, since the vibration responses of the structure can be reduced very effectively and the design procedure is simple and convenient. Copyright © 2000 John Wiley & Sons, Ltd.  相似文献   

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